Kanpur Genetic Algorithms Laboratory (KanGAL) is a research laboratory at Indian Institute of Technology Kanpur dedicated to pursuing research and industrial collaboration in the areas of genetic algorithms, fuzzy logic controllers, bioinformatics and neural networks. Fundamental research and application to engineering problems are primary focus of KanGAL. KanGAL was established in 1997. Since then the lab has produced a number of doctoral theses and masters theses related to genetic algorithms, fuzzy logic controllers, and neural networks. A number of undergraduate students have also been trained in these areas. Besides fundamental research, KanGAL is also active in collaborating with industries and is particularly interested in using soft computing techniques for industrial problem solving. Software Developed at KanGAL: http://www.iitk.ac.in/kangal/codes.shtml
Keywords for this software
References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- Hemker, Thomas; Fowler, Kathleen R.; Farthing, Matthew W.; von Stryk, Oskar: A mixed-integer simulation-based optimization approach with surrogate functions in water resources management (2008)
- Fowler, Kathleen R.; Kelley, Carl T.; Miller, Cass T.; Kees, Christopher E.; Darwin, Robert W.; Reese, Jill P.; Farthing, Matthew W.; Reed, Mark S.C.: Solution of a well-field design problem with implicit filtering (2004)
Further publications can be found at: http://www.iitk.ac.in/kangal/pub.shtml